#AppScaling
Live, measured metrics for the hashtag #AppScaling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #appscaling
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-02 12:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-02 12:12 UTCNo related tags with measured usage found for #appscaling.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-02 12:12 UTCEverything below is measured over the latest 2 public posts (spanning ~11786 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Top of the latest posts
💾🗄️ Are #databases just glorified file managers? According to this article, you might as well use your own files and call it a day. Good luck with that when your app scales faster than this blog's comprehension of databases! 🙃 https://ww
📈 Scaling Your App as It Grows! 🚀 When your app's user base skyrockets, can its performance keep up? With Aire and the open-source Corteza framework, you can: ✅ Seamlessly upgrade your app’s infrastructure ✅ Scale components dynamically w
#appscaling across platforms
every network with a public tag surfaceFollow #appscaling straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/appscaling